Table of contents for Statistical methods for recommender systems / Deepak K. Agarwal, Yahoo! Research, Bee Chung-Chen, Yahoo! Research.

Bibliographic record and links to related information available from the Library of Congress catalog

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Part I. Introduction: 1. Introduction; 2. Classical methods; 3. Explore/exploit for recommender problems; 4. Evaluation methods; Part II. Common Problem Settings: 5. Problem settings and system architecture; 6. Most-popular recommendation; 7. Personalization through feature-based regression; 8. Personalization through factor models; Part III. Advanced Topics: 9. Factorization through latent dirichlet allocation; 10. Context-dependent recommendation; 11. Multi-objective optimization.

Library of Congress subject headings for this publication:
Recommender systems (Information filtering) -- Statistical methods.
Expert systems (Computer science) -- Statistical methods.